PROJECTS

A highlights of what I've designed and built

CodeSync — Real-Time Collaborative Editor

Built a real-time collaborative development workspace where teams can edit code simultaneously with Operational Transform, live presence, and synchronized cursors over WebSockets. Integrated Groq-powered Llama 3.3 70B with token-by-token AI response streaming for every connected user. Added GitHub workspace integration for importing repositories, editing files, committing changes, and pushing directly to GitHub. Supports secure multi-language code execution inside short-lived Docker containers, with persistent sessions, document history, and JWT authentication backed by PostgreSQL.

RustAxumTokioWebSocketsPostgreSQLsqlxJWTNext.jsMonaco EditorZustandDockerGroq

Crime Detection System

Crime Detection System is an end-to-end platform that uses pretrained deep-learning models to analyze live and recorded video streams — including secure mobile-camera live streams from smartphones (via IP Webcam Application) with low-latency viewing. It can automatically detect suspicious or criminal activity, generate real-time alerts, log events for review and retraining, and present results through a Next.js frontend and Django backend. Architecture: - Ingest: Video streams ingested by backend streaming service. - Infer: Frames forwarded to ML inference module (local or GPU-enabled). - Persist: Detections logged in backend and optionally stored for retraining. - UI: Frontend consumes API for live view, alerts, and analytics. Models & Data: - Trained Models: BaseModel.h5, CustomisedCNNModel.h5, VGGNet1.h5, CustomCNN.h5. - Data: Collected data and stored in repository.

Django REST FrameworkTensorFlow/KerasWebSocketsPostgreSQL

Dampe – AI Based Cloud Storage

Dampe is a modern, intelligent cloud storage platform that combines secure file storage with AI-powered analysis. Built with cutting-edge technologies, it offers seamless file management, smart content analysis, and universal accessibility through your Gmail account. An AI-powered cloud storage platform built with a scalable full-stack architecture using secure OAuth authentication, Better Auth, and AWS S3-compatible Cloudflare R2 storage. The system integrates AI-driven document analysis, smart search, real-time file management, and a modern responsive dashboard with optimized APIs, cloud-based storage handling, and smooth animated UI/UX.

Next.jsCloudflare R2BucketClerk

Healthify - Medicine Recommendation System

A web app that uses Pandas, Sklearn and ML Techniques for training Model, HTML, CSS for frontend, Flask for backend. – Implemented and evaluated multiple classification models (e.g., Support Vector Classifier, Random Forest, Gradient Boosting) to predict diseases with high accuracy of 85 %. – Implemented typo handling (FuzzyWuzzy) & user authentication (Flask-Login). – Provided treatment recommendations (medications, workouts, diet)..

Machine Learning Flask PythonPandasSklearnFuzzyWuzzyFlask-Login

Newzy-World - AI-Powered News Aggregator

Newzy World is a modern news aggregation and summarization platform powered by AI. Built with Next.js, TypeScript, and Tailwind CSS, it delivers personalized news summaries, real-time updates, and local information in an elegant, user-friendly interface. Features - AI-Powered News: Smart summarization and categorization - Authentication: Secure Google and GitHub OAuth integration - Personalization: User-specific bookmarks and preferences - Weather & Maps: Real-time local information - Modern UI: Responsive design with dark/light mode - Protected Routes: Secure access to user-specific features

Next.jsTypeScriptTailwind CSSAISummarization

Let's Connect

Interested in collaborating or have any questions? Feel free to reach out!

Contact Me